Ying Weijun, Cheng Cecilia
School of Education, Johns Hopkins University, Baltimore, MD, United States.
Department of Psychology, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.
Front Psychiatry. 2021 Dec 14;12:755938. doi: 10.3389/fpsyt.2021.755938. eCollection 2021.
Since its onset in early 2020, the coronavirus disease 2019 (COVID-19) pandemic has adversely affected not only the physical but also the mental health of people worldwide. Healthcare professionals and laypersons have sought to learn more about this novel and highly transmissible disease to better understand its etiology, treatment, and prevention. However, information overload and misinformation related to COVID-19 have elicited considerable public anxiety and created additional health threats. Collectively, these problems have been recognized by the World Health Organization as an "infodemic." This review provides an overview of the global challenges posed by the COVID-19 infodemic, and used the psychological entropy model as a guiding framework to explicate the potential causes of the infodemic and identify potential solutions to mitigate impacts on public health. We first examine the role of anxiety in information processing and then delineate the adverse impacts of the infodemic. Finally, we propose strategies to combat the infodemic at the public, community, and individual levels.
自2020年初新冠疫情爆发以来,2019冠状病毒病(COVID-19)大流行不仅对全球人民的身体健康,也对其心理健康产生了不利影响。医疗保健专业人员和普通民众都试图更多地了解这种新型且高度传染性的疾病,以便更好地理解其病因、治疗方法和预防措施。然而,与COVID-19相关的信息过载和错误信息引发了公众的极大焦虑,并造成了额外的健康威胁。总体而言,这些问题已被世界卫生组织认定为 “信息疫情”。本综述概述了COVID-19信息疫情带来的全球挑战,并以心理熵模型作为指导框架,阐述信息疫情的潜在成因,并确定减轻对公众健康影响的潜在解决方案。我们首先考察焦虑在信息处理中的作用,然后描述信息疫情的不利影响。最后,我们提出在公众、社区和个人层面应对信息疫情的策略。